Phase Correlation Based Iris Image Registration Model

被引：0
|
作者：
Jun-Zhou Huang
Tie-Niu Tan
Li Ma
Yun-Hong Wang
机构：
[1] Chinese Academy of Sciences,National Laboratory of Pattern Recognition, Institute of Automation
[2] Beihang University,School of Computing
来源：
Journal of Computer Science and Technology | 2005年 / 20卷
关键词：
phase correlation; image registration; iris recognition; biometrics;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Iris recognition is one of the most reliable personal identification methods. In iris recognition systems, image registration is an important component. Accurately registering iris images leads to higher recognition rate for an iris recognition system. This paper proposes a phase correlation based method for iris image registration with sub-pixel accuracy. Compared with existing methods, it is insensitive to image intensity and can compensate to a certain extent the non-linear iris deformation caused by pupil movement. Experimental results show that the proposed algorithm has an encouraging performance.
引用
收藏
页码：419 / 425
页数：6
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